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Machine Learning Startup Jobs in Washington, DC (NOW HIRING)

DeepSig Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

... startup building revolutionary wireless processing software solutions using cutting edge machine ... We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ...

Socket.dev

Machine Learning DSP Engineer

Arlington, VA · On-site

$120 - $190/hr

... startup building revolutionary wireless processing software solutions using cutting edge machine ... We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ...

DeepSig, Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

... startup building revolutionary wireless processing software solutions using cutting edge machine ... We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ...

Swarmint

Robotics & UAS Software Engineer

Arlington, VA · On-site

$120 - $220/hr

About Us SwarmInt is a defense AI startup developing computer vision and edge AI capabilities for ... D. in Computer Science, Machine Learning, or a related field. Equivalent experience is an ...

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All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Washington, DC

Machine Learning Startup information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do machine learning startup jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning startup in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is a machine learning startup?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the typical responsibilities and daily challenges when working at a machine learning startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What are the key skills and qualifications needed to thrive in a machine learning startup, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the most commonly searched types of Machine Learning Startup jobs in Washington, DC?

The most popular types of Machine Learning Startup jobs in Washington, DC are:

What are popular job titles related to Machine Learning Startup jobs in Washington, DC?

For Machine Learning Startup jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Startup jobs in Washington, DC look for?

The top searched job categories for Machine Learning Startup jobs in Washington, DC are:

Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

Machine Learning DSP Engineer

DeepSig Inc

Arlington, VA • On-site

$164K - $192K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Develop and validate machine learning and communications system algorithms and software for RF sensing and wireless applications.

  • Build machine learning models for RF sensing applications and optimize training and inference pipelines using software and DSP techniques.

  • Work with real-world RF datasets and collaborate with product teams to improve RF sensing capabilities based on customer feedback.

Job description

Description

Type: Full-Time (W2) On-Site/Hybrid, Arlington, VA

DeepSig Inc. is a venture backed and product centric technology startup building revolutionary wireless processing software solutions using cutting edge machine learning techniques to transform baseband processing, wireless sensing, and other key wireless applications.

We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software digital signal processing and software-defined modems with state of the art machine learning techniques to create the next generation of AI-Native wireless communications systems in simulation and in real deployed products at scale. This person will be responsible for developing and validating machine learning and communications system algorithms and software across modem and/or wireless sensing system solutions.

What You'll be Doing

  • Build cutting edge Machine Learning models for RF sensing applications
  • Keep up with the latest developments in the field of Machine Learning and assess their viability for RF sensing applications
  • Utilize both Software and DSP techniques to optimize training and inference pipelines
  • Work closely with product managers and business development teams to improve our RF sensing capabilities based on customer feedback
  • Working with real-world RF datasets and ML driven RF systems which are unique and unrivaled anywhere else in the world

Requirements:

  • MS or PhD in Electrical/Computer Engineering, Computer Science, or related field
  • Proficient in at least one programming language (Python preferred)
  • Familiarity with at least one of the Deep Learning frameworks (e.g. - PyTorch, Tensorflow etc.)
  • Experience in one or more of the following areas: Deep Learning, RF Sensing, Statistical Signal Processing, Wireless Systems fundamentals, Time/Frequency analysis of signals
  • Ability to work on open ended problems, building candidate solutions and coming up with appropriate metrics for comparison
  • Strong communication and teaming skills to work collaboratively and productively in a small company environment

Bonus:

  • Experience with advanced signal processing concepts such as multirate signal processing, polyphase filterbanks etc.
  • Prior experience in building Deep Learning models for edge deployment
  • Familiarity with TensorRT
  • Proficiency in C++ and/or CUDA

WORKING AT DEEPSIG 

DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance.


DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings. 

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